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. 2021 Feb 1;29(5):374–381. doi: 10.1177/1357633X21990197

Table 3.

Logistic regression models predicting overall related follow-up visits and type of follow-up visit by initial visit, demographics and comorbidities.

14-Day related follow-up events Initial visit type Age Gender Comorbidities
Related healthcare visit 1.22 (0.94–1.58) 1.00 (0.99–1.01) 0.80 (0.60–1.05) 1.13 (1.02–1.25)
Hospital admission 0.64 (0.31–1.35) 1.04 (1.01–1.06) 0.65 (0.29–1.46) 1.09 (0.85–1.38)
ED visit 1.24 (0.73–2.11) 1.00 (0.99–1.02) 0.61 (0.33–1.13) 1.09 (0.89–1.33)
Office visit 1.46 (1.02–2.10) 0.99 (0.98–1.01) 0.71 (0.48–1.06) 1.16 (1.00–1.33)
Telehealth visit 1.11 (0.78–1.59) 1.01 (0.99–1.02) 0.83 (0.57–1.23) 1.06 (0.93–1.22)
Multiple related visitsc 1.11 (0.66–1.88) 1.01 (0.99–1.03) 0.64 (0.35–1.16) 1.00 (0.83–1.22)

aData presented as odds ratio (confidence interval).

bOdds ratio always in reference to initial telehealth visits.

cPatients with two or more different visits within 14-day period.